The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.
Compressed sensing reconstruction for magnetic resonance parameter mapping
Abstract
Compressed sensing (CS) holds considerable promise to accelerate the data acquisition in magnetic resonance imaging by exploiting signal sparsity. Prior knowledge about the signal can be exploited in some applications to choose an appropriate sparsifying transform. This work presents a CS reconstruction for magnetic resonance (MR) parameter mapping, which applies an overcomplete dictionary, learned from the data model to sparsify the signal. The approach is presented and evaluated in simulations and in in vivo T1 and T2 mapping experiments in the brain. Accurate T1 and T2 maps are obtained from highly reduced data. This model‐based reconstruction could also be applied to other MR parameter mapping applications like diffusion and perfusion imaging. Magn Reson Med, 2010. © 2010 Wiley‐Liss, Inc.
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Cited by
White matter integrity, fiber count, and other fallacies: The do's and don'ts of diffusion MRI
Jones, D. K., Knösche, T. R., & Turner, R. (2013) · NeuroImage · doi:10.1016/j.neuroimage.2012.06.081 · Cited by 2,402
Magnetic resonance fingerprinting
Ma, D., Gulani, V., Seiberlich, N., Liu, K., Sunshine, J. L., Duerk, J. L., & Griswold, M. A. (2013) · Nature · doi:10.1038/nature11971 · Cited by 1,577
Jiang, Y., Ma, D., Seiberlich, N., Gulani, V., & Griswold, M. A. (2015) · Magnetic Resonance in Medicine · doi:10.1002/mrm.25559 · Cited by 422
Akçakaya, M., Moeller, S., Weingärtner, S., & Uğurbil, K. (2019) · Magnetic Resonance in Medicine · doi:10.1002/mrm.27420 · Cited by 391
Validation of tractography: Comparison with manganese tracing
Knösche, T. R., Anwander, A., Liptrot, M., & Dyrby, T. B. (2015) · Human Brain Mapping · doi:10.1002/hbm.22902 · Cited by 127
Metadata
- Authors
- Doneva, M., Börnert, P., Eggers, H., Stehning, C., Sénégas, J., & Mertins, A.
- Venue
- Magnetic Resonance in Medicine
- Publisher
- Wiley
- Published
- 2010-06-17
- Volume
- 64
- Issue
- 4
- Pages
- 1114-1120
- ISSN
- 0740-3194 (ISSN-L)
- 1522-2594
- OpenAlex
- W2075358160
- Cited by
- 326
- References
- 19
- FWCI
- 10.12
- Type
- journal article
- Language
- en
- Open access
- closed
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